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Up to 30% of breast-conserving surgery patients require secondary surgery to remove cancerous tissue missed in the initial intervention. We hypothesize that tracked tissue sensing can improve the success rate of breast-conserving surgery. Tissue sensor tracking allows the surgeon to intraoperatively scan the tumor bed for leftover cancerous tissue. In this study, we characterize the performance of our tracked optical scanning testbed using an experimental pipeline. We assess the Dice similarity coefficient, accuracy, and latency of the testbed.
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David Morton, Laura Connolly, Leah Groves, Kyle Sunderland, Amoon Jamzad, John F. Rudan, Gabor Fichtinger, Tamas Ungi, Parvin Mousavi, "Tracked tissue sensing for tumor bed inspection," Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124661K (3 April 2023); https://doi.org/10.1117/12.2654217